Based on a binary classification example, this post highlights the power of getML's feature engineering algorithms when applied to time series.
Curious how automated feature engineering with getML works? This guide demonstrates getML's capabilities from a user perspective using a simple data set.
This blog post features an application example of getML in the financial sector. Loan default is predicted based on a real world dataset.
Do successful AI projects have similarities in the stakeholders' mindset or ML Tools used? Our Co-founder, Alex, will share his experience from implementing cross-industry AI solutions.
Automated feature engineering for relational business data? Sound great, but you don't really know what relational data is? This post is for you!
GetML empowers a multinational car manufacturer to improve on customer retention strategies by providing accurate churn predictions.
Introducing the most efficient feature engineering solution for relational data and time series.
ZEISS is working on delivering highly reliable machines and support processes. GetML allows building new predictive maintenance applications in a fraction of the time.